Media & select journals helped justify trillions of societal costs when many could be saved from death by early treatment with zinc + zinc ionophore (HCQ/quercetin) therapeutic that costs less than one dollar. Some poorly designed HCQ studies have used late treatment or omitted zinc, which is known not to work. Specific cohorts are also excluded, including cardiac patients with long QT interval and some malaria-prone populations with G6PD gene.

Some US states have blocked pharmacies from filling doctor prescriptions for HCQ, instead of advocating for increased manufacturing capacity within US factories that make HCQ/ingredients. Meanwhile, we boosted ventilator production, where hospitals received $30K for each late-stage patient placed on ventilation, with only 20% chance of survival. We blocked early treatment that worked and we funded expensive late-stage equipment that did not work.

All this with more global information sharing than ever before in the history of humanity. Since we were collectively unable to filter/parse data generated by wildly different economic incentives, where the consequences were DEATH, how can we design new systemic incentives to avoid repeating such mistakes?

https://www.telegraph.co.uk/news/2020/06/02/prof-lockdown-ne...

> Neil Ferguson, who became known as “professor lockdown” after convincing Boris Johnson to radically curtail everyday freedoms, acknowledged that, despite relying on “quite similar science”, the Swedish authorities had “got a long way to the same effect” without a full lockdown.